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Gologin gives AI agents three things they need to work with the web reliably:
  1. Read the web — scrape any page, even JS-heavy and protected sites, through Web Unlocker
  2. Interact with the web — open real browser sessions with clicks, typing, navigation, and persistent cookies through Cloud Browser
  3. Stay undetected — anti-detect fingerprinting, residential proxies, and profile-based identity management
These capabilities are available at multiple integration levels — pick what fits your stack.

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Integration options

MCP Server

Connect Gologin to Claude Desktop, Cursor, or any MCP client. Manage profiles and sessions through natural language.

AI Skills

Plug-and-play extensions for Claude Code. Install a skill and your agent gets web scraping and browser automation out of the box.

CLI Tools

Shell commands that AI agents call directly. Scrape, browse, interact — no code to write. Three CLIs for different workflows.

SDKs + Cloud Browser API

Full programmatic control. Build custom agent tools with Puppeteer/Playwright connected to Gologin Cloud Browser.

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Which tool to choose

I want to…Use
Manage profiles from Claude Desktop / CursorMCP Server
Give Claude Code web access with zero setupAI Skills
Scrape pages, crawl sites, batch extractWeb Access CLI
Open a cloud browser, click, type, screenshotAgent Browser CLI
Warm up local profiles, run login flowsLocal Agent Browser CLI
Build custom tools with Puppeteer/PlaywrightCloud Browser API
Call the scraping API from my own codeWeb Unlocker SDK

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How it all fits together

┌─────────────────────────────────────────────────┐
│                  AI Agent                        │
│         (Claude, Codex, custom agent)            │
└──────┬──────────┬──────────┬────────────────────┘
       │          │          │
  MCP Server   AI Skills   CLI Tools / SDK
       │          │          │
       └──────────┴──────────┘
                  │
    ┌─────────────┴─────────────┐
    │                           │
Web Unlocker              Cloud Browser
(stateless scraping)    (stateful sessions)
    │                           │
    └─────────────┬─────────────┘
                  │
          Gologin Infrastructure
    (proxies, fingerprints, profiles)
  • Web Unlocker handles stateless read/extraction — send a URL, get rendered HTML back
  • Cloud Browser handles stateful interaction — open a session, click, type, navigate, persist cookies
  • Local Orbita handles persistent local profiles — warmup, login flows, social/marketplace actions
All three share the same Gologin infrastructure: residential proxies, anti-detect fingerprinting, and profile management.

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What people build with this

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Research and competitive intelligence

An AI agent that monitors competitor pricing, product launches, and content changes across dozens of websites — daily, automatically. The agent scrapes competitor pages through Web Unlocker, extracts structured data, compares with yesterday’s snapshot, and produces a daily digest. No browser sessions needed, just stateless extraction at scale. 
# scrape 20 competitor pricing pages and get structured output
gologin-web-access batch-scrape \
  https://competitor1.com/pricing \
  https://competitor2.com/pricing \
  https://competitor3.com/pricing \
  --format json --summary --output ./today-prices.json

# detect what changed since last check
gologin-web-access batch-change-track \
  https://competitor1.com/pricing \
  https://competitor2.com/features \
  --format markdown --output ./changes.json

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Lead generation and enrichment

Scrape business directories, LinkedIn company pages, review sites — then feed the HTML into Claude to extract names, emails, phone numbers, company size, tech stack. Works as a tool inside an AI agent loop: the agent decides which pages to scrape, calls the tool, gets structured data back. 
# search for leads
gologin-web-access search "saas companies series A 2026" --limit 20

# scrape and extract structured data from each result
gologin-web-access extract https://example.com/company/123 --schema ./lead-schema.json

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Multi-account management

Run 50+ social media accounts, ad accounts, or marketplace seller accounts — each with its own browser profile, fingerprint, proxy, and cookies. Local Agent Browser manages the profiles, warms them up with runbooks, and keeps sessions alive across agent calls. 
# create profiles for each account
gologin-local-agent-browser profile-create "FB Ads Account 1" --template ads
gologin-local-agent-browser profile-create "FB Ads Account 2" --template ads

# warm up profiles in batch
gologin-local-agent-browser batch ./warmup-runbook.json \
  --targets ./all-profiles.json --concurrency 5

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Automated form filling and data entry

An AI agent that logs into internal dashboards, fills forms, submits reports, downloads exports — all through a real cloud browser session. The agent reads the page as a snapshot, finds the right fields by ref, types values, clicks submit, and verifies the result. 
gologin-agent-browser open https://internal-dashboard.com/login --profile my_profile
gologin-agent-browser snapshot
gologin-agent-browser fill @e3 "username"
gologin-agent-browser fill @e5 "password"
gologin-agent-browser click @e7    # submit button
gologin-agent-browser wait 2000
gologin-agent-browser snapshot     # verify login success
gologin-agent-browser screenshot ./logged-in.png

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Content monitoring and alerting

Track changes on government regulation pages, competitor blogs, job boards, or any page that matters to your business. Run daily via cron or a scheduled agent, diff against previous version, alert on meaningful changes. 
# track changes on key pages
gologin-web-access change-track https://regulations.gov/new-rules --format markdown
gologin-web-access batch-change-track \
  https://competitor.com/blog \
  https://competitor.com/changelog \
  --output ./changes.json

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AI-powered web scraping pipelines

Build an end-to-end pipeline: crawl a docs site, convert to markdown, feed into an LLM for summarization or Q&A. Use the CLI for extraction, and your own code for the LLM part. 
# crawl an entire docs site
gologin-web-access crawl https://docs.example.com \
  --format markdown --limit 100 --max-depth 3 --only-main-content \
  --output ./docs-corpus.json

# or map the site first, then selectively scrape
gologin-web-access map https://docs.example.com --limit 200
gologin-web-access batch-scrape url1 url2 url3 --format text --output ./selected.json

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Geo-testing and localization QA

Check how your website looks from different countries. Open the same URL through profiles configured with proxies in different geos, take screenshots, compare. 
# create geo-specific profiles
gologin-local-agent-browser profile-create "US Test" --template geo --proxy-country us
gologin-local-agent-browser profile-create "DE Test" --template geo --proxy-country de
gologin-local-agent-browser profile-create "JP Test" --template geo --proxy-country jp

# screenshot from each location
gologin-agent-browser open https://yoursite.com --profile us_profile_id
gologin-agent-browser screenshot ./us-view.png
gologin-agent-browser close

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Quick start examples

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Scrape a page (CLI)

npm install -g gologin-web-access
export GOLOGIN_WEB_UNLOCKER_API_KEY="wu_..."

gologin-web-access read https://example.com

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Open a cloud browser (CLI)

npm install -g gologin-agent-browser-cli
export GOLOGIN_TOKEN='your_token'

gologin-agent-browser open https://example.com
gologin-agent-browser snapshot
gologin-agent-browser click @e3
gologin-agent-browser close

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Install an AI Skill (Claude Code)

npx skills add GologinLabs/gologin-web-access-skill
Then just ask Claude Code to scrape a page or interact with a site — the skill handles the rest.

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Connect MCP (Claude Desktop)

Add to claude_desktop_config.json: 
{
  "mcpServers": {
    "gologin-mcp": {
      "command": "npx",
      "args": ["gologin-mcp"],
      "env": { "API_TOKEN": "your-token" }
    }
  }
}
Then ask Claude: “Create a new browser profile with a US proxy.”